Abstract
A major limitation of current workflow systems is their lack of supporting dynamic workflow modifications. However, this functionality is a major requirement for next-generation systems in order to provide sufficient flexibility to cope with unexpected situations and failures. For example, our experience with data intensive medical domains such as cancer therapy shows that the large number of medical exceptions is hard to manage for domain experts. We therefore have developed a rule-based approach for partially automated management of semantic exceptions during workflow instance execution. When an exception occurs, we automatically determine which running workflow instances w.r.t. which workflow regions are affected, and adjust the control flow. Rules are being used to detect semantic exceptions and to decide which activities have to be dropped or added. For dynamic modification of an affected workflow instance, we provide two algorithms (drcd-and p-algorithm) which locate appropriate deletion or insertion points and carry out the dynamic change of control flow.
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Literatur
Attie, P.; Singh, M.P.; Emerson, E.A.; Sheth, A.; Rusinkiewicz, M.:Scheduling Workflows by Enforcing Intertask Dependencies. Distributed Systems Engineering Journal, vol 3, 1996: 222 – 238
Bussler, C.; Jablonski, S.: Die Architektur des modularen Workflow-Management-Systems MOBILE. In [Vos96]: 369–388
Bonner, A.J.; Kifer, M.: An Overview of Transaction Logic. Theoretical Computer Science, 133: 205–265
Bonner, A.J.; Kifer, M.: Transaction Logic Programming. Technical Report CSRI-323, Computer Science Research Institute, University of Toronto, 1995
Casati, F.; Grefen, P.; Pernici, B.; Pozzi, G.; Sanchez, G.: WIDE Workflow Model and Architecture. Technical Report, University of Milano, 1997
Dogac, D.; Kalinichenko, L.; Özsu, T.; Sheth; A. (eds.): Workflow Management Systems and Interoperability. Springer, Berlin, 1998
Davulcu, H.; Kifer, M.; Ramakrishnan, C.R.; Ramakrishnan, I.V.: Logic-Based Modeling and Analysis of Workflows. Proc. PODS98: 25–33
Frohn, J.; Himmeröder, R.; Kandzia, P.-Th.; Lausen, G.; Schlepphorst, C.:FLORID - Ein Prototyp für F-Logik. Proc. BTW97, Ulm, 1997: 100117
Giarratano, J.; Riley, G.: Expert Systems: Principles and Programming. PWS Publishing Company, 1993
Heinl, P.; Schuster, H.; Stein, K.: Behandlung von Ad-hoc-Workflows im MOBILE Workflow-Modell. ITG Fachbericht, STAK ‘86 — Softwaretechnik in Automation und Kommunikation, München, März, 1996
Kifer, M.; Lausen, G.; Wu, J.: Logical Foundations of Object-Oriented and Frame-Based Languages. Journal of the ACM, 42(4), 1995: 74 1843
Müller, R.; Heller, B.: APetri Net-based Model for Knowledge-based Workflows in Distributed Cancer Therapy. Proc. Intern. EDBT98 Workshop on Workflow Management Systems, Valencia, Spain, March 1998
Müller, R.; Heller, B.; Löffler, M.; Rahm, E.; Winter, A.: HematoWork: A Knowledge-based Workflow System for Distributed Cancer Therapy. Proc. of the GMDS98, Bremen, Sep. 98
Müller, R.: Rule-based Interruption and Modification of Workflow Instances. Technical Report. Department of Computer Science, Leipzig University. 1999
Müller, R.; Sergl, M.; Nauerth U. et al.: TheMPO: A Knowledge-Based System for Therapy Planning in Pediatric Oncology. Computers inBiology and Medicine vol. 27 (3), 1997: 177 – 200
Musen, M.A.; Tu, S.W.; Das, A.K et al.: EON: A Component-Based Architecture for Automation of Protocol-Directed Therapy. Journal of the American Medical Informatics Association 1996 (3): 367–388
Reichert, M.; Dadam, P.:ADEPT FLEx- Supporting Dynamic Changes of Workflows Without Losing Control. Journal of Intelligent Information Systems 10, 1998: 93–129
Sheth, A.: From Contemporary Workflow Process Automation to Adaptive and Dynamic Work Activity Coordination and Collaboration. Proc. DEXA Workshop on Workflow 1997
Sheth, A.; Kochut, K.: Workflow Applications to Research Agenda: Scalable and Dynamic Work Coordination and Collaboration Systems. In [DKÖ+98]: 35–60:
Suwa, M.; Scott, A.C.; Shortliffe, E.H.: An approach to verifying completeness and consistency in a rule-based expert system. AI Magazine 3, 1982: 16–21
Vossen, G.: Geschäftsprozeßmodellierung and Workflow-Management: Modelle, Methoden, Werkzeuge. Thomson, Bonn, 1996
Vossen, G.; Weske, M.: The WASA Approach to Workflow Management for Scientific Applications. In [DKO+98]: 145–164
Weske, M.: Flexible Modeling and Execution of Workflow Activities. Proc. 31st Hawaii Int’l Conf. on System Sciences (HICSS-31), Software Technology Track (Vol VII ), 1998: 713–722
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Müller, R., Rahm, E. (1999). Rule-Based Dynamic Modification of Workflows in a Medical Domain. In: Buchmann, A.P. (eds) Datenbanksysteme in Büro, Technik und Wissenschaft. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60119-4_26
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DOI: https://doi.org/10.1007/978-3-642-60119-4_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-65606-7
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